color_hclust: color_hclust

In sigbertklinke/smvgraph: Visualization and Clustering of Data in a Shiny App

color_hclust

Description

Determines colors for x based on stats::hclust. x is normalized according normalize.

Usage

color_hclust(
  x,
  normalize = 1,
  ncol = 2,
  colpal = grDevices::hcl.colors,
  dist = "euclidean",
  na.action = stats::na.pass,
  ...
)

Arguments

x	a numeric matrix, data frame or "dist" object.
normalize	integer: normalization method (default: 1) 0: no rescaling 1: (x-min(x))/(max(x)-min(x)) 2: (x-mean(x))/sd(x)
ncol	integer: maximal number colors
colpal	color palette: a function which generates "ncol" colors with "colpal(ncol)" (default: grDevices::hcl.colors)
dist	the distance measure to be used. This must be one of "euclidean", "maximum", "manhattan", "canberra" or "binary"(default: euclidean)
na.action	a function which indicates what should happen when the data contain NAs (default: na.pass)
...	further parameters given to stats::hclust

Value

a color vector

Examples

color_hclust(iris[,-5], ncol=6)

sigbertklinke/smvgraph documentation built on Dec. 10, 2022, 9:13 a.m.